Guest contributor Archives - Open Data Science - Your News Source for AI, Machine Learning & more

How to Use Deep Learning to Write Shakespeare

Guest contributor Modeling Deep Learningposted by Rosaria Silipo June 6, 2019

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard “Many a true word hath been spoken in jest.” ― William Shakespeare, King Lear “O, beware, my lord, of jealousy; It is the green-ey’d monster, which doth mock The... Read more

The Complete Guide to Decision Trees (part 1)

Guest contributor Machine Learning Modeling Decision Trees Machine Learningposted by Diego Lopez Yse May 15, 2019

In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradient Descent”, “Latent Dirichlet Allocation” or “Convolutional Layer” can scare lots of people. But there are friendly ways of getting into the discipline, and I think starting with this guide to decision trees is a wise decision.... Read more

5 Roadblocks to Getting an ML System in Production

Accelerate AI Guest contributor Machine Learning Machine Learningposted by Ben Schneider April 25, 2019

We typically meet an organization’s data science team after they’ve carried out a successful proof of concept. The algorithm they built or acquired produced results that were promising enough to greenlight development of a production ML system. It’s at this point that the immaturity of ML project management often... Read more

Learn How to Organize, Cleanup and Process Medical Image Datasets for Computer Vision Training

Guest contributor Modeling ODSC Speaker Computer Visionposted by Jesse Freeman April 23, 2019

We are entering a whole new world where the possibility for AI, and more specifically computer vision, can help us with medical decision making that we’ve relied on doctors to perform. Moreover, while the hope of having doctor-less diagnoses is still a work of science fiction, every day we... Read more

ODSC East DeepOps: Building an AI First Company

Deep Learning Guest contributor Modeling ODSC Speaker Deep Learningposted by Yuval Greenfield April 23, 2019

I’ve spoken to over a hundred AI companies as part of my job at MissingLink.ai and the result of analyzing their experiment, data and compute workflows. Certain challenges were a common theme across many teams – the solutions to these is a concept we call “DeepOps”, deep learning operations.... Read more

Darwin: Machine Learning Beyond Predefined Recipes

Guest contributor Machine Learning Sponsored Postposted by SparkCognition April 23, 2019

The same way a tailored suit feels and looks different from generic options because it actually fits, tailored models perform differently than pre-established boxed algorithms because they are custom-fitted to your data. To answer this need, SparkCognition has developed Darwin™, a machine learning product that automates the building and... Read more

Being Open in the Era of Privacy

Guest contributorposted by Mostly AI April 18, 2019

When Netflix announced a 1 million dollar challenge for improving their recommendation engine, together with releasing 100 million movie ratings in 2006, they knew little what would happen next. Netflix has been working on a recommender system for years by then, were recognized for their business innovation as well... Read more

Help Set the Standards for Analytics Professionals For a Chance to Win Data Science Gifts

Guest contributorposted by IADSS April 12, 2019

As the role of data and analytics is expanding rapidly in creating new business models or changing existing ones, demand for analytics professionals is growing at an increasing rate. The world has witnessed an explosion in the number of people describing themselves as data scientists or analytics professionals. This... Read more

All The Cool Things You Can Do With PostgreSQL for Data Analysis

Guest contributor Modeling East 2019 PostgreSQLposted by Steve Pousty April 10, 2019

We all know that one of the biggest tasks is cleaning our data and getting it ready for analysis. Once you’ve spent all that time cleaning your data I will argue you should store it in a relational database. While you may not do all your analysis there –... Read more

Why Do Tree Ensembles Work?

Guest contributor Machine Learning Modeling Statistics Machine Learning Statisticsposted by Joe Ross April 10, 2019

Ensembles of decision trees (e.g., the random forest and AdaBoost algorithms) are powerful and well-known methods of classification and regression. We will survey work aimed at understanding the statistical properties of decision tree ensembles, with the goal of explaining why they work. An elementary probabilistic motivation for ensemble methods... Read more